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Tag: LLMs

Positional Encoding in Transformers: Sinusoidal vs Learned for LLMs

Positional Encoding in Transformers: Sinusoidal vs Learned for LLMs

Sinusoidal and learned positional encodings were early solutions for transformers, but modern LLMs now use RoPE and ALiBi for better long-context performance. Learn why and how these techniques evolved.

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Recent Posts

Lower-Cost Tokens in Generative AI: Economics That Unlock New Use Cases Sep, 4 2026
Lower-Cost Tokens in Generative AI: Economics That Unlock New Use Cases
Continuous Batching and KV Caching: Maximizing Throughput for LLMs May, 23 2026
Continuous Batching and KV Caching: Maximizing Throughput for LLMs
Deploying Open-Source LLMs: A Guide to Legal Risks and Licensing Jul, 24 2026
Deploying Open-Source LLMs: A Guide to Legal Risks and Licensing
Evaluating Reasoning Models: Think Tokens, Steps, and Accuracy Tradeoffs May, 24 2026
Evaluating Reasoning Models: Think Tokens, Steps, and Accuracy Tradeoffs
Decoder-Only vs Encoder-Decoder Models: Choosing the Right LLM Architecture Apr, 26 2026
Decoder-Only vs Encoder-Decoder Models: Choosing the Right LLM Architecture

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